Modeling the global emission, transport and deposition of trace elements associated with mineral dust
Trace element deposition from desert dust has important impacts on ocean primary productivity, the quantification of which could be useful in determining the magnitude and sign of the biogeochemical feedback on radiative forcing. However, the impact of elemental deposition to remote ocean regions is...
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Copernicus GmbH
2015
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ftunivmilanobic:oai:boa.unimib.it:10281/217648 2024-04-14T08:13:18+00:00 Modeling the global emission, transport and deposition of trace elements associated with mineral dust Zhang, Y. Mahowald, N. Scanza, R. A. Journet, E. Desboeufs, K. Albani, S. Kok, J. F. Zhuang, G. Chen, Y. Cohen, D. D. Paytan, A. Patey, M. D. Achterberg, E. P. Engelbrecht, J. P. Fomba, K. W. Zhang, Y Mahowald, N Scanza, R Journet, E Desboeufs, K Albani, S Kok, J Zhuang, G Chen, Y Cohen, D Paytan, A Patey, M Achterberg, E Engelbrecht, J Fomba, K 2015 http://hdl.handle.net/10281/217648 https://doi.org/10.5194/bg-12-5771-2015 http://www.biogeosciences.net/volumes_and_issues.html eng eng Copernicus GmbH info:eu-repo/semantics/altIdentifier/wos/WOS:000362972200014 volume:12 issue:19 firstpage:5771 lastpage:5792 numberofpages:22 journal:BIOGEOSCIENCES http://hdl.handle.net/10281/217648 doi:10.5194/bg-12-5771-2015 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84944313841 http://www.biogeosciences.net/volumes_and_issues.html info:eu-repo/semantics/openAccess Ecology Evolution Behavior and Systematic Earth-Surface Processes info:eu-repo/semantics/article 2015 ftunivmilanobic https://doi.org/10.5194/bg-12-5771-2015 2024-03-21T17:07:22Z Trace element deposition from desert dust has important impacts on ocean primary productivity, the quantification of which could be useful in determining the magnitude and sign of the biogeochemical feedback on radiative forcing. However, the impact of elemental deposition to remote ocean regions is not well understood and is not currently included in global climate models. In this study, emission inventories for eight elements primarily of soil origin, Mg, P, Ca, Mn, Fe, K, Al, and Si are determined based on a global mineral data set and a soil data set. The resulting elemental fractions are used to drive the desert dust model in the Community Earth System Model (CESM) in order to simulate the elemental concentrations of atmospheric dust. Spatial variability of mineral dust elemental fractions is evident on a global scale, particularly for Ca. Simulations of global variations in the Ca / Al ratio, which typically range from around 0.1 to 5.0 in soils, are consistent with observations, suggesting that this ratio is a good signature for dust source regions. The simulated variable fractions of chemical elements are sufficiently different; estimates of deposition should include elemental variations, especially for Ca, Al and Fe. The model results have been evaluated with observations of elemental aerosol concentrations from desert regions and dust events in non-dust regions, providing insights into uncertainties in the modeling approach. The ratios between modeled and observed elemental fractions range from 0.7 to 1.6, except for Mg and Mn (3.4 and 3.5, respectively). Using the soil database improves the correspondence of the spatial heterogeneity in the modeling of several elements (Ca, Al and Fe) compared to observations. Total and soluble dust element fluxes to different ocean basins and ice sheet regions have been estimated, based on the model results. The annual inputs of soluble Mg, P, Ca, Mn, Fe and K associated with dust using the mineral data set are 0.30 Tg, 16.89 Gg, 1.32 Tg, 22.84 Gg, 0.068 Tg, and 0.15 ... Article in Journal/Newspaper Ice Sheet Università degli Studi di Milano-Bicocca: BOA (Bicocca Open Archive) Biogeosciences 12 19 5771 5792 |
institution |
Open Polar |
collection |
Università degli Studi di Milano-Bicocca: BOA (Bicocca Open Archive) |
op_collection_id |
ftunivmilanobic |
language |
English |
topic |
Ecology Evolution Behavior and Systematic Earth-Surface Processes |
spellingShingle |
Ecology Evolution Behavior and Systematic Earth-Surface Processes Zhang, Y. Mahowald, N. Scanza, R. A. Journet, E. Desboeufs, K. Albani, S. Kok, J. F. Zhuang, G. Chen, Y. Cohen, D. D. Paytan, A. Patey, M. D. Achterberg, E. P. Engelbrecht, J. P. Fomba, K. W. Modeling the global emission, transport and deposition of trace elements associated with mineral dust |
topic_facet |
Ecology Evolution Behavior and Systematic Earth-Surface Processes |
description |
Trace element deposition from desert dust has important impacts on ocean primary productivity, the quantification of which could be useful in determining the magnitude and sign of the biogeochemical feedback on radiative forcing. However, the impact of elemental deposition to remote ocean regions is not well understood and is not currently included in global climate models. In this study, emission inventories for eight elements primarily of soil origin, Mg, P, Ca, Mn, Fe, K, Al, and Si are determined based on a global mineral data set and a soil data set. The resulting elemental fractions are used to drive the desert dust model in the Community Earth System Model (CESM) in order to simulate the elemental concentrations of atmospheric dust. Spatial variability of mineral dust elemental fractions is evident on a global scale, particularly for Ca. Simulations of global variations in the Ca / Al ratio, which typically range from around 0.1 to 5.0 in soils, are consistent with observations, suggesting that this ratio is a good signature for dust source regions. The simulated variable fractions of chemical elements are sufficiently different; estimates of deposition should include elemental variations, especially for Ca, Al and Fe. The model results have been evaluated with observations of elemental aerosol concentrations from desert regions and dust events in non-dust regions, providing insights into uncertainties in the modeling approach. The ratios between modeled and observed elemental fractions range from 0.7 to 1.6, except for Mg and Mn (3.4 and 3.5, respectively). Using the soil database improves the correspondence of the spatial heterogeneity in the modeling of several elements (Ca, Al and Fe) compared to observations. Total and soluble dust element fluxes to different ocean basins and ice sheet regions have been estimated, based on the model results. The annual inputs of soluble Mg, P, Ca, Mn, Fe and K associated with dust using the mineral data set are 0.30 Tg, 16.89 Gg, 1.32 Tg, 22.84 Gg, 0.068 Tg, and 0.15 ... |
author2 |
Zhang, Y Mahowald, N Scanza, R Journet, E Desboeufs, K Albani, S Kok, J Zhuang, G Chen, Y Cohen, D Paytan, A Patey, M Achterberg, E Engelbrecht, J Fomba, K |
format |
Article in Journal/Newspaper |
author |
Zhang, Y. Mahowald, N. Scanza, R. A. Journet, E. Desboeufs, K. Albani, S. Kok, J. F. Zhuang, G. Chen, Y. Cohen, D. D. Paytan, A. Patey, M. D. Achterberg, E. P. Engelbrecht, J. P. Fomba, K. W. |
author_facet |
Zhang, Y. Mahowald, N. Scanza, R. A. Journet, E. Desboeufs, K. Albani, S. Kok, J. F. Zhuang, G. Chen, Y. Cohen, D. D. Paytan, A. Patey, M. D. Achterberg, E. P. Engelbrecht, J. P. Fomba, K. W. |
author_sort |
Zhang, Y. |
title |
Modeling the global emission, transport and deposition of trace elements associated with mineral dust |
title_short |
Modeling the global emission, transport and deposition of trace elements associated with mineral dust |
title_full |
Modeling the global emission, transport and deposition of trace elements associated with mineral dust |
title_fullStr |
Modeling the global emission, transport and deposition of trace elements associated with mineral dust |
title_full_unstemmed |
Modeling the global emission, transport and deposition of trace elements associated with mineral dust |
title_sort |
modeling the global emission, transport and deposition of trace elements associated with mineral dust |
publisher |
Copernicus GmbH |
publishDate |
2015 |
url |
http://hdl.handle.net/10281/217648 https://doi.org/10.5194/bg-12-5771-2015 http://www.biogeosciences.net/volumes_and_issues.html |
genre |
Ice Sheet |
genre_facet |
Ice Sheet |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000362972200014 volume:12 issue:19 firstpage:5771 lastpage:5792 numberofpages:22 journal:BIOGEOSCIENCES http://hdl.handle.net/10281/217648 doi:10.5194/bg-12-5771-2015 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84944313841 http://www.biogeosciences.net/volumes_and_issues.html |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/bg-12-5771-2015 |
container_title |
Biogeosciences |
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12 |
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19 |
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